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Four-dimensional image-based treatment planning: Target volume segmentation and dose calculation in the presence of respiratory motion.

Publication ,  Journal Article
Rietzel, E; Chen, GTY; Choi, NC; Willet, CG
Published in: Int J Radiat Oncol Biol Phys
April 1, 2005

PURPOSE: To describe approaches to four-dimensional (4D) treatment planning, including acquisition of 4D-CT scans, target delineation of spatio-temporal image data sets, 4D dose calculations, and their analysis. METHODS AND MATERIALS: The study included patients with thoracic and hepatocellular tumors. Specialized tools were developed to facilitate visualization, segmentation, and analysis of 4D-CT data: maximum intensity volume to define the extent of lung tumor motion, a 4D browser to examine and dynamically assess the 4D data sets, dose calculations, including respiratory motion, and deformable registration to combine the dose distributions at different points. RESULTS: Four-dimensional CT was used to visualize and quantitatively assess respiratory target motion. The gross target volume contours derived from light breathing scans showed significant differences compared with those extracted from 4D-CT. Evaluation of deformable registration using difference images of original and deformed anatomic maps suggested the algorithm is functionally useful. Thus, calculation of effective dose distributions, including respiratory motion, was implemented. CONCLUSION: Tools and methods to use 4D-CT data for treatment planning in the presence of respiratory motion have been developed and applied to several case studies. The process of 4D-CT-based treatment planning has been implemented, and technical barriers for its routine use have been identified.

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Published In

Int J Radiat Oncol Biol Phys

DOI

ISSN

0360-3016

Publication Date

April 1, 2005

Volume

61

Issue

5

Start / End Page

1535 / 1550

Location

United States

Related Subject Headings

  • Tomography, X-Ray Computed
  • Respiration
  • Radiotherapy Planning, Computer-Assisted
  • Radiotherapy Dosage
  • Radiographic Image Enhancement
  • Positron-Emission Tomography
  • Oncology & Carcinogenesis
  • Movement
  • Lung Neoplasms
  • Liver Neoplasms
 

Citation

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Rietzel, E., Chen, G. T. Y., Choi, N. C., & Willet, C. G. (2005). Four-dimensional image-based treatment planning: Target volume segmentation and dose calculation in the presence of respiratory motion. Int J Radiat Oncol Biol Phys, 61(5), 1535–1550. https://doi.org/10.1016/j.ijrobp.2004.11.037
Rietzel, Eike, George T. Y. Chen, Noah C. Choi, and Christopher G. Willet. “Four-dimensional image-based treatment planning: Target volume segmentation and dose calculation in the presence of respiratory motion.Int J Radiat Oncol Biol Phys 61, no. 5 (April 1, 2005): 1535–50. https://doi.org/10.1016/j.ijrobp.2004.11.037.
Rietzel E, Chen GTY, Choi NC, Willet CG. Four-dimensional image-based treatment planning: Target volume segmentation and dose calculation in the presence of respiratory motion. Int J Radiat Oncol Biol Phys. 2005 Apr 1;61(5):1535–50.
Rietzel, Eike, et al. “Four-dimensional image-based treatment planning: Target volume segmentation and dose calculation in the presence of respiratory motion.Int J Radiat Oncol Biol Phys, vol. 61, no. 5, Apr. 2005, pp. 1535–50. Pubmed, doi:10.1016/j.ijrobp.2004.11.037.
Rietzel E, Chen GTY, Choi NC, Willet CG. Four-dimensional image-based treatment planning: Target volume segmentation and dose calculation in the presence of respiratory motion. Int J Radiat Oncol Biol Phys. 2005 Apr 1;61(5):1535–1550.
Journal cover image

Published In

Int J Radiat Oncol Biol Phys

DOI

ISSN

0360-3016

Publication Date

April 1, 2005

Volume

61

Issue

5

Start / End Page

1535 / 1550

Location

United States

Related Subject Headings

  • Tomography, X-Ray Computed
  • Respiration
  • Radiotherapy Planning, Computer-Assisted
  • Radiotherapy Dosage
  • Radiographic Image Enhancement
  • Positron-Emission Tomography
  • Oncology & Carcinogenesis
  • Movement
  • Lung Neoplasms
  • Liver Neoplasms